Thomas Huitema

Thomas Huitema

Lead Medical Software Engineer @ Sensius

Country

-

City

United Kingdom

Industry

Information Technology & Services

Skill

Software Development, Project Management, Bitbucket, Git, Jira, Confluence, Microsoft Visual Studio Code, Monte Carlo Simulation, Medical data, Machine Learning, Python (Programming Language), High Performance Computing (HPC), Analytical Skills, System Architecture, Computer Science, Communication, Physics, MATLAB, Statistical Data Analysis

Experience

Sensius

Lead Medical Software Engineer

Sensius

LinkedIn
2025-7 - Present · 1 yr 3 mos

Combining an understanding of Medical Physics and Medical Software to translate physics, clinical requirements and algorithms into reliable and compliant medical device software.

Sensius

Research And Development Intern

Sensius

LinkedIn
2025-4 - 2025-7 · 4 mos

Rotterdam, South Holland, Netherlands

Developing the image guided patient positioning system for the Sensius FocusCollar thermotherapy treatment system. Feasibility studies and prototyping for detecting facial landmarks using stereo camera setups.

Education

UCL

UCL

LinkedIn

Medical Imaging Technology and Computing

2025-9 - 2029-9 · 4 yrs 1 mo

Working under the UCL Computer Assisted Navigation, Diagnosis and Intervention group.

UCL

UCL

LinkedIn

Medical Imaging Technology and Computing

2025-9 - 2026-9 · 1 yr 1 mo
UCL

UCL

LinkedIn

Medical Physics

2021-9 - 2025-7 · 3 yrs 11 mos

I studied MSci Medical Physics in the UCL department of Medical Physics and Biomedical Engineering. In the last two years of the four year program, I focused on medical computing and image analysis, including computer assisted surgery and therapy methods. My dissertation successfully applied machine learning methods to medical image registration of head and neck CT scans on a large dataset.

Thomas Huitema's Contact Information

Email

******@***.com

Phone

(**) *** ****

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